{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "s3nSo4zQPz4q"
   },
   "source": [
    "# *scANVI: Deep Generative Modeling for Single Cell Data with Pyro*\n",
    "\n",
    "In this tutorial we show how to use Pyro to construct a semi-supervised deep generative model of transcriptomics data that can be used to propagate labels\n",
    "from a small set of labeled cells to a larger set of unlabeled cells. \n",
    "In particular we use a dataset of peripheral blood mononuclear cells (PBMC) from 10x Genomics and\n",
    "(approximately) reproduce Figure 6 in  [Probabilistic Harmonization and Annotation of Single-cell Transcriptomics Data with Deep Generative Models](https://www.embopress.org/doi/full/10.15252/msb.20209620).\n",
    "\n",
    "(Note that the code below is also available as a [script](https://github.com/pyro-ppl/pyro/blob/dev/examples/scanvi/scanvi.py).)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 120
    },
    "execution": {
     "iopub.execute_input": "2021-11-30T23:00:30.734915Z",
     "iopub.status.busy": "2021-11-30T23:00:30.734411Z",
     "iopub.status.idle": "2021-11-30T23:00:35.722079Z",
     "shell.execute_reply": "2021-11-30T23:00:35.722499Z"
    },
    "id": "OuLXRxsavSmq",
    "outputId": "bfc8e60b-8f5d-4f6a-a33e-8b9a48f0d628"
   },
   "outputs": [],
   "source": [
    "# setup environment\n",
    "import os\n",
    "smoke_test = ('CI' in os.environ)  # for continuous integration tests\n",
    "\n",
    "if not smoke_test:\n",
    "    # install scanpy (used for pre-processing and UMAP)\n",
    "    !pip install -q scanpy==1.8.2\n",
    "    !pip install -q umap-learn==0.5.1\n",
    "    # install scvi (used to get data)\n",
    "    !pip install -q scvi-tools[tutorials]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-30T23:00:35.727728Z",
     "iopub.status.busy": "2021-11-30T23:00:35.725028Z",
     "iopub.status.idle": "2021-11-30T23:00:36.787721Z",
     "shell.execute_reply": "2021-11-30T23:00:36.788085Z"
    },
    "id": "K4nC4QQYyR3e"
   },
   "outputs": [],
   "source": [
    "# various import statements\n",
    "import numpy as np\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from torch.nn.functional import softplus, softmax\n",
    "from torch.distributions import constraints\n",
    "from torch.optim import Adam\n",
    "\n",
    "import pyro\n",
    "import pyro.distributions as dist\n",
    "import pyro.poutine as poutine\n",
    "from pyro.distributions.util import broadcast_shape\n",
    "from pyro.optim import MultiStepLR\n",
    "from pyro.infer import SVI, config_enumerate, TraceEnum_ELBO\n",
    "from pyro.contrib.examples.scanvi_data import get_data\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Patch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data pre-processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-30T23:00:36.793629Z",
     "iopub.status.busy": "2021-11-30T23:00:36.793162Z",
     "iopub.status.idle": "2021-11-30T23:00:51.123472Z",
     "shell.execute_reply": "2021-11-30T23:00:51.123916Z"
    },
    "id": "tzrivzogypm0"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "OMP: Info #271: omp_set_nested routine deprecated, please use omp_set_max_active_levels instead.\n"
     ]
    }
   ],
   "source": [
    "%%capture\n",
    "# Download and pre-process data\n",
    "batch_size = 100\n",
    "if not smoke_test:\n",
    "    dataloader, num_genes, l_mean, l_scale, anndata = get_data(dataset='pbmc', cuda=True, batch_size=batch_size)\n",
    "else:\n",
    "    dataloader, num_genes, l_mean, l_scale, anndata = get_data(dataset='mock')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Brpx7AnF8DIE"
   },
   "source": [
    "The PBMC transcriptomics data are encoded as a count matrix of size N x G, with N=20,000 cells and G=21,932 genes.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "r-HHRTEf8mYi"
   },
   "source": [
    "![count_matrix.png]()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 51
    },
    "execution": {
     "iopub.execute_input": "2021-11-30T23:00:51.128491Z",
     "iopub.status.busy": "2021-11-30T23:00:51.128009Z",
     "iopub.status.idle": "2021-11-30T23:00:51.137014Z",
     "shell.execute_reply": "2021-11-30T23:00:51.136650Z"
    },
    "id": "qJUmuX1Jyvms",
    "outputId": "95c6ce16-f285-406f-bf7b-1578c8820bc8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Count data matrix shape: torch.Size([20000, 21932])\n",
      "Mean counts per cell: 1418.6\n"
     ]
    }
   ],
   "source": [
    "print(\"Count data matrix shape:\", dataloader.data_x.shape)\n",
    "print(\"Mean counts per cell: {:.1f}\".format(dataloader.data_x.sum(-1).mean().item()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "O2z-p0CkyzCw"
   },
   "source": [
    "In addition 200 of the 20,000 cells have been labeled using a hand-curated list of marker genes that includes e.g. CD4 and CD8B. This annotation introduces four discrete cell types:\n",
    "- CD8 Naive T cell\n",
    "- CD4 Naive T cell\n",
    "- CD4 Memory T cell\n",
    "- CD4 Regulatory T cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "execution": {
     "iopub.execute_input": "2021-11-30T23:00:51.140259Z",
     "iopub.status.busy": "2021-11-30T23:00:51.139036Z",
     "iopub.status.idle": "2021-11-30T23:00:51.142395Z",
     "shell.execute_reply": "2021-11-30T23:00:51.142722Z"
    },
    "id": "y0LftuRgzWHq",
    "outputId": "3b82d20c-3582-4442-ce07-1cfc405b8027"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of labeled cells: 200\n"
     ]
    }
   ],
   "source": [
    "print(\"Number of labeled cells:\", dataloader.num_labeled)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Semi-supervised generative modeling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8x1ArSpf1OBD"
   },
   "source": [
    "Our high-level goal is to learn a parametric model p(**x**) that provides a good fit to the observed count data {**x**_i}. \n",
    "To build a sufficiently rich and flexible model we introduce several latent variables that can capture variability in the data. In particular we introduce the following latent variables:\n",
    "- two continuous latent variables **z**_1 and **z**_2 which are intended to encode things like cell state\n",
    "- a scalar latent variable **ℓ** that encodes the total number of counts in a cell, and thus reflects cell size, capture efficiency, etc\n",
    "- a discrete latent variable **y** that encodes the four possible cell labels\n",
    "\n",
    "The structure of our model can be represented as a plate diagram, with the index *i* ranging over the N cells (in other words we are modeling the count matrix row-by-row). \n",
    "In particular each cell has its own copy of each of these latent variables:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6T6m8aMVBnQU"
   },
   "source": [
    "![plate.png]()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0N1ylwGVCnCr"
   },
   "source": [
    "Note that in this diagram the partial shading of **y** indicates that sometimes **y** is unobserved and sometimes it is not: this is a semi-supervised model.\n",
    "\n",
    "Before we write down a *complete* specification of this model in Pyro (including in particular neural networks), let's start by writing some code that illustrates the high-level structure of the model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-30T23:00:51.150591Z",
     "iopub.status.busy": "2021-11-30T23:00:51.144888Z",
     "iopub.status.idle": "2021-11-30T23:00:51.152186Z",
     "shell.execute_reply": "2021-11-30T23:00:51.152541Z"
    },
    "id": "KFaWbIJzDY9c"
   },
   "outputs": [],
   "source": [
    "def model_sketch(x, y=None):\n",
    "    # This gene-level parameter modulates the variance of the \n",
    "    # observation distribution for our vector of counts x\n",
    "    theta = pyro.param(\"inverse_dispersion\", 10.0 * torch.ones(num_genes),\n",
    "                       constraint=constraints.positive)\n",
    "\n",
    "    # The plate statement encodes that each datapoint (i.e. cell count vector x_i)\n",
    "    # is conditionally independent given its own latent variables.\n",
    "    with pyro.plate(\"batch\", len(x)):\n",
    "        # Define a unit Normal prior distribution for z1\n",
    "        z1 = pyro.sample(\"z1\", dist.Normal(0, torch.ones(latent_dim)).to_event(1))\n",
    "        # Define a uniform categorical prior for y.\n",
    "        # Note that if y is None (i.e. y is unobserved) then y will be sampled;\n",
    "        # otherwise y will be treated as observed.        \n",
    "        y = pyro.sample(\"y\", dist.OneHotCategorical(logits=torch.zeros(num_labels)),\n",
    "                        obs=y)\n",
    "\n",
    "        # Pass z1 and y to the z2 decoder neural network\n",
    "        z2_loc, z2_scale = z2_decoder(z1, y)  \n",
    "        # Define the prior distribution for z2. The parameters of this distribution\n",
    "        # depend on both z1 and y.        \n",
    "        z2 = pyro.sample(\"z2\", dist.Normal(z2_loc, z2_scale).to_event(1))\n",
    "\n",
    "        # Define a LogNormal prior distribution for the log count variable ℓ\n",
    "        l = pyro.sample(\"l\", dist.LogNormal(l_loc, l_scale).to_event(1))\n",
    "\n",
    "        # We now construct the observation distribution. To do this we \n",
    "        # first pass z2 to the x decoder neural network. \n",
    "        gate_logits, mu = x_decoder(z2)\n",
    "        # Using the outputs of the neural network we can define the parameters\n",
    "        # of our ZINB observation distribution.\n",
    "        # Note that by construction mu is normalized (i.e. mu.sum(-1) == 1) and the\n",
    "        # total scale of counts for each cell is determined by the latent variable ℓ.\n",
    "        # That is, `l * mu` is a G-dimensional vector of mean gene counts.\n",
    "        nb_logits = (l * mu).log() - theta.log()\n",
    "        x_dist = dist.ZeroInflatedNegativeBinomial(gate_logits=gate_logits, \n",
    "                                                   total_count=theta,\n",
    "                                                   logits=nb_logits)\n",
    "        # Observe the datapoint x using the observation distribution x_dist\n",
    "        pyro.sample(\"x\", x_dist.to_event(1), obs=x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "G49G_jdfFbzq"
   },
   "source": [
    "## Variational inference\n",
    "\n",
    "Recall that in Variational Inference it's necessary to specify a variational distribution. In Pyro we call these *guides*. \n",
    "While Pyro includes some machinery for constructing these automatically, for complex models it's usually necessary to build these by hand in order to get the best possible performance. Let's sketch the high-level structure of the guide we use for this model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-30T23:00:51.158733Z",
     "iopub.status.busy": "2021-11-30T23:00:51.158284Z",
     "iopub.status.idle": "2021-11-30T23:00:51.159880Z",
     "shell.execute_reply": "2021-11-30T23:00:51.160241Z"
    },
    "id": "yLCaRCA8F4GA"
   },
   "outputs": [],
   "source": [
    "# The guide specifies the variational distribution\n",
    "def guide_sketch(self, x, y=None):\n",
    "    # This plate statement matches the plate in the model\n",
    "    with pyro.plate(\"batch\", len(x)):\n",
    "        # We pass the observed count vector x to an encoder network\n",
    "        # that generates the parameters we use to define the variational\n",
    "        # distributions for the latent variables z2 and ℓ.\n",
    "        z2_loc, z2_scale, l_loc, l_scale = z2l_encoder(x)\n",
    "        pyro.sample(\"l\", dist.LogNormal(l_loc, l_scale).to_event(1))\n",
    "        z2 = pyro.sample(\"z2\", dist.Normal(z2_loc, z2_scale).to_event(1))\n",
    "\n",
    "        # We only need to specify a variational distribution over y if y is unobserved\n",
    "        if y is None:\n",
    "            # We use the `classifier` neural network to turn the latent code\n",
    "            # z2 into logits that we can use to specify a distribution over y.\n",
    "            y_logits = classifier(z2)\n",
    "            y_dist = dist.OneHotCategorical(logits=y_logits)\n",
    "            y = pyro.sample(\"y\", y_dist)\n",
    "\n",
    "        # Finally we generate the parameters for the z1 distribution by\n",
    "        # passing z2 and y through an encoder neural network z1_encoder.\n",
    "        z1_loc, z1_scale = z1_encoder(z2, y)\n",
    "        pyro.sample(\"z1\", dist.Normal(z1_loc, z1_scale).to_event(1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define some helper functions for making fully-connected neural networks and reshaping tensors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "cellView": "form",
    "execution": {
     "iopub.execute_input": "2021-11-30T23:00:51.166288Z",
     "iopub.status.busy": "2021-11-30T23:00:51.165832Z",
     "iopub.status.idle": "2021-11-30T23:00:51.167606Z",
     "shell.execute_reply": "2021-11-30T23:00:51.168023Z"
    },
    "id": "C9YE8pUO2EVU"
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   "outputs": [],
   "source": [
    "# Helper for making fully-connected neural networks\n",
    "def make_fc(dims):\n",
    "    layers = []\n",
    "    for in_dim, out_dim in zip(dims, dims[1:]):\n",
    "        layers.append(nn.Linear(in_dim, out_dim))\n",
    "        layers.append(nn.BatchNorm1d(out_dim))\n",
    "        layers.append(nn.ReLU())\n",
    "    return nn.Sequential(*layers[:-1])  # Exclude final ReLU non-linearity\n",
    "\n",
    "# Splits a tensor in half along the final dimension\n",
    "def split_in_half(t):\n",
    "    return t.reshape(t.shape[:-1] + (2, -1)).unbind(-2)\n",
    "\n",
    "# Helper for broadcasting inputs to neural net\n",
    "def broadcast_inputs(input_args):\n",
    "    shape = broadcast_shape(*[s.shape[:-1] for s in input_args]) + (-1,)\n",
    "    input_args = [s.expand(shape) for s in input_args]\n",
    "    return input_args"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SBhy4IxcHmMG"
   },
   "source": [
    "## Neural encoders and decoders\n",
    "\n",
    "The main thing we need to do to complete the specification of our model and guide is define the various decoder/encoder neural networks. \n",
    "Since this is largely just a matter of invoking standard PyTorch API, we do not go into great detail here. \n",
    "We limit ourselves to taking a quick look at `XDecoder`, which is the decoder neural network we use to specify the observation distribution p(**x** | **z**_2) used in the model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-30T23:00:51.173349Z",
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   "outputs": [],
   "source": [
    "# Used in parameterizing p(x | z2)\n",
    "class XDecoder(nn.Module):\n",
    "    # This __init__ statement is executed once upon construction of the neural network.\n",
    "    # Here we specify that the neural network has input dimension z2_dim\n",
    "    # and output dimension 2 * num_genes.\n",
    "    def __init__(self, num_genes, z2_dim, hidden_dims):\n",
    "        super().__init__()\n",
    "        dims = [z2_dim] + hidden_dims + [2 * num_genes]\n",
    "        self.fc = make_fc(dims)\n",
    "\n",
    "    # This method defines the actual computation of the neural network. It takes\n",
    "    # z2 as input and spits out two parameters that are then used in the model\n",
    "    # to define the ZINB observation distribution. In particular it generates\n",
    "    # `gate_logits`, which controls zero-inflation, and `mu` which encodes the\n",
    "    # relative frequencies of different genes.\n",
    "    def forward(self, z2):\n",
    "        gate_logits, mu = split_in_half(self.fc(z2))\n",
    "        # Note that mu is normalized so that total count information is\n",
    "        # encoded by the latent variable ℓ.\n",
    "        mu = softmax(mu, dim=-1)\n",
    "        return gate_logits, mu"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "poeITj1OJGWD"
   },
   "source": [
    "We now define the remaining encoder and decoder neural networks:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-30T23:00:51.185722Z",
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     "iopub.status.idle": "2021-11-30T23:00:51.187587Z",
     "shell.execute_reply": "2021-11-30T23:00:51.187125Z"
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    "id": "hI0l8qsL6Y4_"
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   "outputs": [],
   "source": [
    "# Used in parameterizing p(z2 | z1, y)\n",
    "class Z2Decoder(nn.Module):\n",
    "    def __init__(self, z1_dim, y_dim, z2_dim, hidden_dims):\n",
    "        super().__init__()\n",
    "        dims = [z1_dim + y_dim] + hidden_dims + [2 * z2_dim]\n",
    "        self.fc = make_fc(dims)\n",
    "\n",
    "    def forward(self, z1, y):\n",
    "        z1_y = torch.cat([z1, y], dim=-1)\n",
    "        # We reshape the input to be two-dimensional so that nn.BatchNorm1d behaves correctly\n",
    "        _z1_y = z1_y.reshape(-1, z1_y.size(-1))\n",
    "        hidden = self.fc(_z1_y)\n",
    "        # If the input was three-dimensional we now restore the original shape\n",
    "        hidden = hidden.reshape(z1_y.shape[:-1] + hidden.shape[-1:])\n",
    "        loc, scale = split_in_half(hidden)\n",
    "        # Here and elsewhere softplus ensures that scale is positive. Note that we generally\n",
    "        # expect softplus to be more numerically stable than exp.\n",
    "        scale = softplus(scale)\n",
    "        return loc, scale\n",
    "\n",
    "# Used in parameterizing q(z2 | x) and q(l | x)\n",
    "class Z2LEncoder(nn.Module):\n",
    "    def __init__(self, num_genes, z2_dim, hidden_dims):\n",
    "        super().__init__()\n",
    "        dims = [num_genes] + hidden_dims + [2 * z2_dim + 2]\n",
    "        self.fc = make_fc(dims)\n",
    "\n",
    "    def forward(self, x):\n",
    "        # Transform the counts x to log space for increased numerical stability.\n",
    "        # Note that we only use this transformation here; in particular the observation\n",
    "        # distribution in the model is a proper count distribution.\n",
    "        x = torch.log(1 + x)      \n",
    "        h1, h2 = split_in_half(self.fc(x))\n",
    "        z2_loc, z2_scale = h1[..., :-1], softplus(h2[..., :-1])\n",
    "        l_loc, l_scale = h1[..., -1:], softplus(h2[..., -1:])\n",
    "        return z2_loc, z2_scale, l_loc, l_scale\n",
    "\n",
    "# Used in parameterizing q(z1 | z2, y)\n",
    "class Z1Encoder(nn.Module):\n",
    "    def __init__(self, num_labels, z1_dim, z2_dim, hidden_dims):\n",
    "        super().__init__()\n",
    "        dims = [num_labels + z2_dim] + hidden_dims + [2 * z1_dim]\n",
    "        self.fc = make_fc(dims)\n",
    "\n",
    "    def forward(self, z2, y):\n",
    "        # This broadcasting is necessary since Pyro expands y during enumeration (but not z2)\n",
    "        z2_y = broadcast_inputs([z2, y])\n",
    "        z2_y = torch.cat(z2_y, dim=-1)\n",
    "        # We reshape the input to be two-dimensional so that nn.BatchNorm1d behaves correctly\n",
    "        _z2_y = z2_y.reshape(-1, z2_y.size(-1))\n",
    "        hidden = self.fc(_z2_y)\n",
    "        # If the input was three-dimensional we now restore the original shape\n",
    "        hidden = hidden.reshape(z2_y.shape[:-1] + hidden.shape[-1:])\n",
    "        loc, scale = split_in_half(hidden)\n",
    "        scale = softplus(scale)\n",
    "        return loc, scale\n",
    "\n",
    "# Used in parameterizing q(y | z2)\n",
    "class Classifier(nn.Module):\n",
    "    def __init__(self, z2_dim, hidden_dims, num_labels):\n",
    "        super().__init__()\n",
    "        dims = [z2_dim] + hidden_dims + [num_labels]\n",
    "        self.fc = make_fc(dims)\n",
    "\n",
    "    def forward(self, x):\n",
    "        logits = self.fc(x)\n",
    "        return logits"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lvbYfsZhJMAs"
   },
   "source": [
    "## Putting everything together\n",
    "\n",
    "At this juncture we can put everything together. \n",
    "We will package our Pyro model and guide as a PyTorch `nn.Module`. We briefly discuss some of the more technical points that were swept under the rug in our high-level specifications `model_sketch` and `guide_sketch` introduced above:\n",
    "- We use `pyro.module` statements to register the various neural networks with Pyro (this ensures their parameters get trained).\n",
    "- The [semi-supervised modeling framework](https://arxiv.org/abs/1406.5298) upon which scANVI is based includes an additional term in the ELBO loss function that ensures that the `classifier` neural network learns from both labeled and unlabeled data. \n",
    "This explains the presence of the `pyro.factor` statement in the guide, which essentially just adds an auxiliary cross entropy loss term.\n",
    "- In defining `nb_logits` below we use a fudge factor `epsilon` to ensure numerical stability. Fitting flexible models equipped with neural networks to high-dimensional data inevitably requires paying some attention to numerical issues."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
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    "execution": {
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   "source": [
    "# Packages the scANVI model and guide as a PyTorch nn.Module\n",
    "class SCANVI(nn.Module):\n",
    "    def __init__(self, num_genes, num_labels, l_loc, l_scale, \n",
    "                 latent_dim=10, alpha=0.01, scale_factor=1.0):\n",
    "        self.num_genes = num_genes\n",
    "        self.num_labels = num_labels\n",
    "\n",
    "        # This is the dimension of both z1 and z2\n",
    "        self.latent_dim = latent_dim\n",
    "\n",
    "        # The next two hyperparameters determine the prior over the log_count latent variable `l`\n",
    "        self.l_loc = l_loc\n",
    "        self.l_scale = l_scale\n",
    "\n",
    "        # This hyperparameter controls the strength of the auxiliary classification loss\n",
    "        self.alpha = alpha\n",
    "        self.scale_factor = scale_factor\n",
    "\n",
    "        super().__init__()\n",
    "\n",
    "        # Setup the various neural networks used in the model and guide\n",
    "        self.z2_decoder = Z2Decoder(z1_dim=self.latent_dim, y_dim=self.num_labels,\n",
    "                                    z2_dim=self.latent_dim, hidden_dims=[50])\n",
    "        self.x_decoder = XDecoder(num_genes=num_genes, hidden_dims=[100], z2_dim=self.latent_dim)\n",
    "        self.z2l_encoder = Z2LEncoder(num_genes=num_genes, z2_dim=self.latent_dim, hidden_dims=[100])\n",
    "        self.classifier = Classifier(z2_dim=self.latent_dim, hidden_dims=[50], num_labels=num_labels)\n",
    "        self.z1_encoder = Z1Encoder(num_labels=num_labels, z1_dim=self.latent_dim,\n",
    "                                    z2_dim=self.latent_dim, hidden_dims=[50])\n",
    "\n",
    "        self.epsilon = 0.006\n",
    "\n",
    "    def model(self, x, y=None):\n",
    "        # Register various nn.Modules (i.e. the decoder/encoder networks) with Pyro\n",
    "        pyro.module(\"scanvi\", self)\n",
    "\n",
    "        # This gene-level parameter modulates the variance of the observation distribution\n",
    "        theta = pyro.param(\"inverse_dispersion\", 10.0 * x.new_ones(self.num_genes),\n",
    "                           constraint=constraints.positive)\n",
    "\n",
    "        # We scale all sample statements by scale_factor so that the ELBO loss function\n",
    "        # is normalized wrt the number of datapoints and genes. \n",
    "        # This helps with numerical stability during optimization.\n",
    "        with pyro.plate(\"batch\", len(x)), poutine.scale(scale=self.scale_factor):\n",
    "            z1 = pyro.sample(\"z1\", dist.Normal(0, x.new_ones(self.latent_dim)).to_event(1))\n",
    "            y = pyro.sample(\"y\", dist.OneHotCategorical(logits=x.new_zeros(self.num_labels)),\n",
    "                            obs=y)\n",
    "\n",
    "            z2_loc, z2_scale = self.z2_decoder(z1, y)\n",
    "            z2 = pyro.sample(\"z2\", dist.Normal(z2_loc, z2_scale).to_event(1))\n",
    "\n",
    "            l_scale = self.l_scale * x.new_ones(1)\n",
    "            l = pyro.sample(\"l\", dist.LogNormal(self.l_loc, l_scale).to_event(1))\n",
    "\n",
    "            # Note that by construction mu is normalized (i.e. mu.sum(-1) == 1) and the\n",
    "            # total scale of counts for each cell is determined by `l`\n",
    "            gate_logits, mu = self.x_decoder(z2)\n",
    "            nb_logits = (l * mu + self.epsilon).log() - (theta + self.epsilon).log()\n",
    "            x_dist = dist.ZeroInflatedNegativeBinomial(gate_logits=gate_logits, total_count=theta,\n",
    "                                                       logits=nb_logits)\n",
    "            # Observe the datapoint x using the observation distribution x_dist\n",
    "            pyro.sample(\"x\", x_dist.to_event(1), obs=x)\n",
    "\n",
    "    # The guide specifies the variational distribution\n",
    "    def guide(self, x, y=None):\n",
    "        pyro.module(\"scanvi\", self)\n",
    "        with pyro.plate(\"batch\", len(x)), poutine.scale(scale=self.scale_factor):\n",
    "            z2_loc, z2_scale, l_loc, l_scale = self.z2l_encoder(x)\n",
    "            pyro.sample(\"l\", dist.LogNormal(l_loc, l_scale).to_event(1))\n",
    "            z2 = pyro.sample(\"z2\", dist.Normal(z2_loc, z2_scale).to_event(1))\n",
    "\n",
    "            y_logits = self.classifier(z2)\n",
    "            y_dist = dist.OneHotCategorical(logits=y_logits)\n",
    "            if y is None:\n",
    "                # x is unlabeled so sample y using q(y|z2)\n",
    "                y = pyro.sample(\"y\", y_dist)\n",
    "            else:\n",
    "                # x is labeled so add a classification loss term\n",
    "                # (this way q(y|z2) learns from both labeled and unlabeled data)\n",
    "                classification_loss = y_dist.log_prob(y)\n",
    "                # Note that the negative sign appears because we're adding this term in the guide\n",
    "                # and the guide log_prob appears in the ELBO as -log q\n",
    "                pyro.factor(\"classification_loss\", -self.alpha * classification_loss, has_rsample=False)\n",
    "\n",
    "            z1_loc, z1_scale = self.z1_encoder(z2, y)\n",
    "            pyro.sample(\"z1\", dist.Normal(z1_loc, z1_scale).to_event(1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jYxtIFx3KvKx"
   },
   "source": [
    "## Training\n",
    "\n",
    "Now that we've fully specified our model and guide we can proceed to training via stochastic variational inference!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
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     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Epoch 00]  Loss: 0.34436\n",
      "[Epoch 01]  Loss: 0.21656\n",
      "[Epoch 02]  Loss: 0.15006\n",
      "[Epoch 03]  Loss: 0.12347\n",
      "[Epoch 04]  Loss: 0.10913\n",
      "[Epoch 05]  Loss: 0.10095\n",
      "[Epoch 06]  Loss: 0.09812\n",
      "[Epoch 07]  Loss: 0.09501\n",
      "[Epoch 08]  Loss: 0.09236\n",
      "[Epoch 09]  Loss: 0.09102\n",
      "[Epoch 10]  Loss: 0.08964\n",
      "[Epoch 11]  Loss: 0.08916\n",
      "[Epoch 12]  Loss: 0.08763\n",
      "[Epoch 13]  Loss: 0.08644\n",
      "[Epoch 14]  Loss: 0.08549\n",
      "[Epoch 15]  Loss: 0.08450\n",
      "[Epoch 16]  Loss: 0.08330\n",
      "[Epoch 17]  Loss: 0.08281\n",
      "[Epoch 18]  Loss: 0.08258\n",
      "[Epoch 19]  Loss: 0.08243\n",
      "[Epoch 20]  Loss: 0.08225\n",
      "[Epoch 21]  Loss: 0.08222\n",
      "[Epoch 22]  Loss: 0.08217\n",
      "[Epoch 23]  Loss: 0.08214\n",
      "[Epoch 24]  Loss: 0.08211\n",
      "[Epoch 25]  Loss: 0.08208\n",
      "[Epoch 26]  Loss: 0.08205\n",
      "[Epoch 27]  Loss: 0.08201\n",
      "[Epoch 28]  Loss: 0.08198\n",
      "[Epoch 29]  Loss: 0.08196\n",
      "[Epoch 30]  Loss: 0.08193\n",
      "[Epoch 31]  Loss: 0.08189\n",
      "[Epoch 32]  Loss: 0.08186\n",
      "[Epoch 33]  Loss: 0.08183\n",
      "[Epoch 34]  Loss: 0.08179\n",
      "[Epoch 35]  Loss: 0.08177\n",
      "[Epoch 36]  Loss: 0.08174\n",
      "[Epoch 37]  Loss: 0.08170\n",
      "[Epoch 38]  Loss: 0.08169\n",
      "[Epoch 39]  Loss: 0.08166\n",
      "[Epoch 40]  Loss: 0.08163\n",
      "[Epoch 41]  Loss: 0.08161\n",
      "[Epoch 42]  Loss: 0.08160\n",
      "[Epoch 43]  Loss: 0.08158\n",
      "[Epoch 44]  Loss: 0.08155\n",
      "[Epoch 45]  Loss: 0.08153\n",
      "[Epoch 46]  Loss: 0.08151\n",
      "[Epoch 47]  Loss: 0.08149\n",
      "[Epoch 48]  Loss: 0.08149\n",
      "[Epoch 49]  Loss: 0.08147\n",
      "[Epoch 50]  Loss: 0.08145\n",
      "[Epoch 51]  Loss: 0.08143\n",
      "[Epoch 52]  Loss: 0.08140\n",
      "[Epoch 53]  Loss: 0.08140\n",
      "[Epoch 54]  Loss: 0.08138\n",
      "[Epoch 55]  Loss: 0.08137\n",
      "[Epoch 56]  Loss: 0.08137\n",
      "[Epoch 57]  Loss: 0.08134\n",
      "[Epoch 58]  Loss: 0.08133\n",
      "[Epoch 59]  Loss: 0.08133\n",
      "[Epoch 60]  Loss: 0.08130\n",
      "[Epoch 61]  Loss: 0.08130\n",
      "[Epoch 62]  Loss: 0.08127\n",
      "[Epoch 63]  Loss: 0.08127\n",
      "[Epoch 64]  Loss: 0.08125\n",
      "[Epoch 65]  Loss: 0.08125\n",
      "[Epoch 66]  Loss: 0.08124\n",
      "[Epoch 67]  Loss: 0.08124\n",
      "[Epoch 68]  Loss: 0.08121\n",
      "[Epoch 69]  Loss: 0.08120\n",
      "[Epoch 70]  Loss: 0.08120\n",
      "[Epoch 71]  Loss: 0.08118\n",
      "[Epoch 72]  Loss: 0.08119\n",
      "[Epoch 73]  Loss: 0.08117\n",
      "[Epoch 74]  Loss: 0.08116\n",
      "[Epoch 75]  Loss: 0.08114\n",
      "[Epoch 76]  Loss: 0.08114\n",
      "[Epoch 77]  Loss: 0.08113\n",
      "[Epoch 78]  Loss: 0.08111\n",
      "[Epoch 79]  Loss: 0.08111\n",
      "Finished training!\n"
     ]
    }
   ],
   "source": [
    "# Clear Pyro param store so we don't conflict with previous \n",
    "# training runs in this session\n",
    "pyro.clear_param_store()\n",
    "# Fix random number seed\n",
    "pyro.util.set_rng_seed(0)\n",
    "# Enable optional validation warnings\n",
    "pyro.enable_validation(True)\n",
    "\n",
    "# Instantiate instance of model/guide and various neural networks\n",
    "scanvi = SCANVI(num_genes=num_genes, num_labels=4, \n",
    "                l_loc=l_mean, l_scale=l_scale,\n",
    "                scale_factor=1.0 / (batch_size * num_genes))\n",
    "if not smoke_test:\n",
    "    scanvi = scanvi.cuda()\n",
    "\n",
    "# Setup an optimizer (Adam) and learning rate scheduler.\n",
    "# We start with a moderately high learning rate (0.006) and\n",
    "# reduce by a factor of 5 after 20 epochs.\n",
    "scheduler = MultiStepLR({'optimizer': Adam, \n",
    "                         'optim_args': {'lr': 0.006}, \n",
    "                         'gamma': 0.2, 'milestones': [20]})\n",
    "\n",
    "# Tell Pyro to enumerate out y when y is unobserved.\n",
    "# (By default y would be sampled from the guide)\n",
    "guide = config_enumerate(scanvi.guide, \"parallel\", expand=True)\n",
    "\n",
    "# Setup a variational objective for gradient-based learning.\n",
    "# Note we use TraceEnum_ELBO in order to leverage Pyro's machinery\n",
    "# for automatic enumeration of the discrete latent variable y.\n",
    "elbo = TraceEnum_ELBO(strict_enumeration_warning=False)\n",
    "svi = SVI(scanvi.model, guide, scheduler, elbo)\n",
    "\n",
    "# Training loop.\n",
    "# We train for 80 epochs, although this isn't enough to achieve full convergence.\n",
    "# For optimal results it is necessary to tweak the optimization parameters.\n",
    "# For our purposes, however, 80 epochs of training is sufficient.\n",
    "# Training should take about 8 minutes on a GPU-equipped Colab instance.\n",
    "num_epochs = 80 if not smoke_test else 1\n",
    "\n",
    "for epoch in range(num_epochs):\n",
    "    losses = []\n",
    "\n",
    "    # Take a gradient step for each mini-batch in the dataset\n",
    "    for x, y in dataloader:\n",
    "        if y is not None:\n",
    "            y = y.type_as(x)\n",
    "        loss = svi.step(x, y)\n",
    "        losses.append(loss)\n",
    "\n",
    "    # Tell the scheduler we've done one epoch.\n",
    "    scheduler.step()\n",
    "\n",
    "    print(\"[Epoch %02d]  Loss: %.5f\" % (epoch, np.mean(losses)))\n",
    "\n",
    "print(\"Finished training!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yDuoXcaZORC9"
   },
   "source": [
    "## Plotting our results\n",
    "\n",
    "Finally, we generate a figure that illustrates the latent representations learned by our model. \n",
    "In particular we identify each cell with the 10-dimensional representation encoded in the inferred latent variable **z**_2. \n",
    "Note that for a given cell with counts **x**, the inferred mean of **z**_2 can be computed by using the `z2l_encoder` that is part of our amortized guide. \n",
    "\n",
    "In addition we show that our `classifier` neural network can be used to label the unlabeled cells. Moreover, these labels come equipped with uncertainty estimates."
   ]
  },
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    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 648x864 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if not smoke_test:\n",
    "    # Now that we're done training we'll inspect the latent representations we've learned\n",
    "    import scanpy as sc\n",
    "    \n",
    "    # Put the neural networks in evaluation mode (needed because of batch norm)\n",
    "    scanvi.eval()\n",
    "\n",
    "    # Compute latent representation (z2_loc) for each cell in the dataset\n",
    "    latent_rep = scanvi.z2l_encoder(dataloader.data_x)[0]\n",
    "\n",
    "    # Compute inferred cell type probabilities for each cell\n",
    "    y_logits = scanvi.classifier(latent_rep)\n",
    "    # Convert logits to probabilities\n",
    "    y_probs = softmax(y_logits, dim=-1).data.cpu().numpy()\n",
    "\n",
    "    # Use scanpy to compute 2-dimensional UMAP coordinates using our\n",
    "    # learned 10-dimensional latent representation z2\n",
    "    anndata.obsm[\"X_scANVI\"] = latent_rep.data.cpu().numpy()\n",
    "    sc.pp.neighbors(anndata, use_rep=\"X_scANVI\")\n",
    "    sc.tl.umap(anndata)\n",
    "    umap1, umap2 = anndata.obsm['X_umap'][:, 0], anndata.obsm['X_umap'][:, 1]\n",
    "\n",
    "    # Construct plots; all plots are scatterplots depicting the two-dimensional UMAP embedding\n",
    "    # and only differ in how points are colored\n",
    "\n",
    "    # The topmost plot depicts the 200 hand-curated seed labels in our dataset\n",
    "    fig, axes = plt.subplots(3, 2, figsize=(9, 12))\n",
    "    seed_marker_sizes = anndata.obs['seed_marker_sizes']\n",
    "    axes[0, 0].scatter(umap1, umap2, s=seed_marker_sizes, c=anndata.obs['seed_colors'], marker='.', alpha=0.7)\n",
    "    axes[0, 0].set_title('Hand-Curated Seed Labels')\n",
    "    axes[0, 0].set_xlabel('UMAP-1')\n",
    "    axes[0, 0].set_ylabel('UMAP-2')\n",
    "    patch1 = Patch(color='lightcoral', label='CD8-Naive')\n",
    "    patch2 = Patch(color='limegreen', label='CD4-Naive')\n",
    "    patch3 = Patch(color='deepskyblue', label='CD4-Memory')\n",
    "    patch4 = Patch(color='mediumorchid', label='CD4-Regulatory')\n",
    "    axes[0, 1].legend(loc='center left', handles=[patch1, patch2, patch3, patch4])\n",
    "    axes[0, 1].get_xaxis().set_visible(False)\n",
    "    axes[0, 1].get_yaxis().set_visible(False)\n",
    "    axes[0, 1].set_frame_on(False)\n",
    "\n",
    "    # The remaining plots depict the inferred cell type probability for each of the four cell types\n",
    "    s10 = axes[1, 0].scatter(umap1, umap2, s=1, c=y_probs[:, 0], marker='.', alpha=0.7)\n",
    "    axes[1, 0].set_title('Inferred CD8-Naive probability')\n",
    "    fig.colorbar(s10, ax=axes[1, 0])\n",
    "    s11 = axes[1, 1].scatter(umap1, umap2, s=1, c=y_probs[:, 1], marker='.', alpha=0.7)\n",
    "    axes[1, 1].set_title('Inferred CD4-Naive probability')\n",
    "    fig.colorbar(s11, ax=axes[1, 1])\n",
    "    s20 = axes[2, 0].scatter(umap1, umap2, s=1, c=y_probs[:, 2], marker='.', alpha=0.7)\n",
    "    axes[2, 0].set_title('Inferred CD4-Memory probability')\n",
    "    fig.colorbar(s20, ax=axes[2, 0])\n",
    "    s21 = axes[2, 1].scatter(umap1, umap2, s=1, c=y_probs[:, 3], marker='.', alpha=0.7)\n",
    "    axes[2, 1].set_title('Inferred CD4-Regulatory probability')\n",
    "    fig.colorbar(s21, ax=axes[2, 1])\n",
    "\n",
    "    fig.tight_layout()"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "pyro_scanvi.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
